class_docstr: This super class is used to describe the type of inference
  used for the latent variable :math:`\mathbf X` in GPLVM models.
  
  :param int n: Size of the latent space.
  :param int latent_dim: Dimensionality of latent space.
class_docstr_tok: ["This","super","class","is","used","to","describe","the","type","of","inference","used","for","the","latent","variable",":","math",":","`","\\mathbf","X","`","in","GPLVM","models",".",":","param","int","n",":","Size","of","the","latent","space",".",":","param","int","latent_dim",":","Dimensionality","of","latent","space","."]
code: def forward(self, x):
      raise NotImplementedError
  
file_path: gpytorch/gpytorch/models/gplvm/latent_variable.py
imports: import torch
  from ...module import Module
label_desc: Use image node_id 2 for calling the LatentVariable obj's underlying member method code with example usage: obj.forward(x) without return types